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Ai Coder Jobs in Utah (NOW HIRING)

Senior Software Engineer

Sandy, UT ยท On-site

$116K - $153K/yr

Use AI coding tools and Agentic AI Workflows actively in your day-to-day work - for code generation, review, testing, debugging, and documentation * Write clean, well-structured, Code and/or ...

Agentic AI Engineer

Salt Lake City, UT ยท Hybrid

$130K - $170K/yr

Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team * Instrument and monitor agentic systems in ...

Agentic AI Engineer

Salt Lake City, UT ยท On-site

$130K - $170K/yr

  • Retirement

Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team * Instrument and monitor agentic systems in ...

Senior Software Engineer

Draper, UT ยท On-site

$120 - $180/hr

Use AI coding assistants, automated testing, and modern tooling as a core part of your daily workflow to raise development speed and code quality.Support incident response and root-cause analysis for ...

AI Solutions Lead

Salt Lake City, UT ยท Hybrid

  • Medical

  • Life

  • Retirement

  • PTO

About this role Wells Fargo is seeking an AI Solutions Lead to own AI solution delivery within ... Fluency with low-code / no-code and agent platforms (e.g., Agent Studio, Claude Code / Cowork ...

Use AI tools as your default execution layer for design, coding, testing, debugging, documentation ... and analysis - then apply your own judgment to review and approve the result. * Build practical AI ...

Senior AI Engineer

Lehi, UT

$140K - $226K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Guide fellow team members in the code review process * Guide and provide clarity for fellow team ... Leverage AI tools and workflows throughout the development process - from ideation and architecture ...

Use AI tools as your default execution layer for design, coding, testing, debugging, documentation ... and analysis then apply your own judgment to review and approve the result. * Build practical AI ...

Use AI tools as your default execution layer for design, coding, testing, debugging, documentation ... and analysis - then apply your own judgment to review and approve the result. * Build practical AI ...

AI Engineer - Innovation Lab

Midvale, UT ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Guide testing, configuration management, and source code/change management processes, ensuring strict adherence to Git workflows and version control best practices. * Support and maintain AI ...

AI Engineer - Innovation Lab

Midvale, UT ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Guide testing, configuration management, and source code/change management processes, ensuring strict adherence to Git workflows and version control best practices. * Support and maintain AI ...

Showing results 41-60

Ai Coder information

See Utah salary details

$14

$25

$39

How much do ai coder jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai coder in Utah is $25.03, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $31.49 per hour, depending on experience, location, and employer.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are the key skills and qualifications needed to thrive as an AI coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

How do you become an AI coder?

To become an AI coder, you typically need a strong foundation in programming languages such as Python or Java, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Earning a degree in computer science, data science, or a related field and gaining experience through projects or internships are common steps. Developing skills in algorithms, data structures, and mathematics is also essential for working effectively in AI development.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

What are popular job titles related to Ai Coder jobs in Utah?

For Ai Coder jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Ai Coder jobs?

Cities in Utah with the most Ai Coder job openings:

Infographic showing various Ai Coder job openings in Utah as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $52,057 per year, or $25 per hour.

Senior Software Engineer

NICE

Sandy, UT โ€ข On-site

$116K - $153K/yr

Full-time

Re-posted 19 days ago


Job description

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you.
ABOUT NICE
NiCE is a global leader in cloud platforms for customer experience and contact center technology, serving over 25,000 organizations worldwide. We help businesses deliver smarter, faster, and more human interactions - at scale. Our engineering teams are at the center of that mission, building the products and platforms that transform how companies engage with their customers.
THE ROLE
We're looking for a technically strong engineer who is genuinely excited about AI - not because it's a trend, but because they've already been using it to do better work and they want to go further. This person doesn't wait for training programs or permission to level up. They experiment on their own, stay ahead of what's available, and bring what they learn back to the team.
You have real engineering depth - you know how to design systems, write code that holds up in production, and solve hard problems. You also have real AI experience: you've worked with LLMs and AI tools in ways that go beyond surface-level prompting. You understand the trade-offs, you've seen where these tools break down, and you've figured out how to get the most out of them anyway.
What sets you apart is the hunger. You're the kind of engineer who reads the release notes, follows what's shipping in the AI space, and finds ways to apply it before anyone asks you to. You want to be at the front of where this is going - and you're willing to put in the work to get there.
WHAT YOU'LL DO
  • Design, build, test, and ship software across the full development lifecycle using C#, .NET, AI-Claude.
  • Use AI coding tools and Agentic AI Workflows actively in your day-to-day work - for code generation, review, testing, debugging, and documentation
  • Write clean, well-structured, Code and/or specification docs, leveraging AI as a partner, and also take responsibility for its quality in production. Take responsibility for its quality in production
  • Collaborate with product managers, designers, and other engineers to understand requirements and deliver working solutions
  • Apply prompt engineering and Agentic coding techniques to accelerate your work and improve output consistency
  • Participate in code reviews, technical discussions, and team planning
  • Evaluate and adopt new AI tools and approaches as the landscape evolves
  • Contribute to shared engineering standards and help raise the bar for how the team uses AI

WHAT WE'RE LOOKING FOR
Engineering Fundamentals
  • Solid experience in backend software development
  • Proficiency in one or more modern programming languages and frameworks
  • Comfortable working with APIs, distributed systems, and software integrations
  • Strong understanding of testing practices, code quality, and software design principles

AI & LLM Experience
  • Hands-on experience using AI coding tools in real development work - not just exploration or hobby projects
  • Practical knowledge of how LLMs work, where they're effective, and where they fall short
  • Experience with prompt engineering - writing, iterating, and evaluating prompts for reliable output
  • Familiarity with agents, tool use, or AI-assisted workflow automation
  • Working understanding of LLM constraints: context windows, token costs, latency, and output variability

Communication & Collaboration
  • Communicates clearly in both technical and non-technical conversations
  • Writes documentation, specs, and code comments that others can actually use
  • Works well in cross-functional teams and gives constructive code review feedback
  • Takes ownership end-to-end - not just the assigned task, but the outcome

NICE TO HAVE
  • Experience in CX, contact center, or enterprise SaaS environments
  • Familiarity with CCaaS platforms, voice/chat AI, or customer-facing AI products
  • Exposure to building or tuning agentic systems or multi-step AI pipelines
  • Experience contributing to shared tooling, internal platforms, or developer experience improvements

WHAT TO EXPECT AT NICE
  • A team that treats AI fluency as a professional standard - you won't be the only one who takes this seriously
  • Access to modern AI tools, frameworks, and the space to experiment and improve how you work
  • Real ownership - you'll be trusted to make decisions and see your work through to production
  • A culture of continuous improvement, where how we build is as important as what we build
  • Clear paths to grow into specialized engineering roles as your skills and interests develop

About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.